scholarly journals Bilayered ceramic anterior restorations with reinforcement of the incisal edge by using lithium disilicate: A multicenter retrospective survival analysis with a maximum of 6-year follow-up

2021 ◽  
Author(s):  
Audrey L. van Erp ◽  
Eric van der Winden ◽  
Martijn C. Molenaar ◽  
Eric-Jan Royakkers ◽  
Alwin C.L. van Daelen ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Lithium Disilicate ◽  
Incisal Edge

scholarly journals One-year outcomes of microhook trabeculotomy versus suture trabeculotomy ab interno

2021 ◽  
Author(s):  
Hiroshi Yokoyama ◽  
Masashi Takata ◽  
Fumi Gomi
Keyword(s):  
Survival Analysis ◽  
Clinical Success ◽  
Treatment Success ◽  
Medication Use ◽  
Glaucoma Surgery ◽  
Success Rates ◽  
Kaplan Meier ◽  
One Year ◽  
Ab Interno

Abstract Purpose To compare clinical success rates and reductions in intraocular pressure (IOP) and IOP-lowering medication use following suture trabeculotomy ab interno (S group) or microhook trabeculotomy (μ group). Methods This retrospective review collected data from S (n = 104, 122 eyes) and μ (n = 42, 47 eyes) groups who underwent treatment between June 1, 2016, and October 31, 2019, and had 12-month follow-up data including IOP, glaucoma medications, complications, and additional IOP-lowering procedures. The Kaplan–Meier survival analysis was used to evaluate treatment success rates defined as normal IOP (> 5 to ≤ 18 mm Hg), ≥ 20% reduction of IOP from baseline at two consecutive visits, and no further glaucoma surgery. Results Schlemm’s canal opening was longer in the S group than in the μ group (P < 0.0001). The Kaplan–Meier survival analysis of all eyes showed cumulative clinical success rates in S and µ groups were 71.1% and 61.7% (P = 0.230). The Kaplan–Meier survival analysis of eyes with preoperative IOP ≥ 21 mmHg showed cumulative clinical success rates in S and μ groups were 80.4% and 60.0% (P = 0.0192). There were no significant differences in postoperative IOP at 1, 3, and 6 months (S group, 14.9 ± 5.6, 14.6 ± 4.5, 14.6 ± 3.9 mmHg; μ group, 15.8 ± 5.9, 15.2 ± 4.4, 14.7 ± 3.7 mmHg; P = 0.364, 0.443, 0.823), but postoperative IOP was significantly lower in the S group at 12 months (S group, 14.1 ± 3.1 mmHg; μ group, 15.6 ± 4.1 mmHg; P = 0.0361). There were no significant differences in postoperative numbers of glaucoma medications at 1, 3, 6, and 12 months (S group, 1.8 ± 1.6, 1.8 ± 1.5, 2.0 ± 1.6, 1.8 ± 1.5; μ group, 2.0 ± 1.6, 2.0 ± 1.6, 2.1 ± 1.6, 2.2 ± 1.7; P = 0.699, 0.420, 0.737, 0.198). Conclusion S and µ group eyes achieved IOP reduction, but μ group eyes had lower clinical success rates among patients with high preoperative IOP at 12 months.

scholarly journals Correlation of Triiodothyronine Level with In-Hospital Cardiac Function and Long-Term Prognosis in Patients with Acute Myocardial Infarction

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Jianqing She ◽  
Jiahao Feng ◽  
Yangyang Deng ◽  
Lizhe Sun ◽  
Yue Wu ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Survival Analysis ◽  
Cardiac Function ◽  
Thyroid Function ◽  
Major Adverse Cardiovascular Events ◽  
Free Triiodothyronine ◽  
Kaplan Meier ◽  
Significant Difference

Objective. The pathophysiologic mechanism of how thyroid function is related to the development and prognosis of acute myocardial infarction (AMI) remains under explored, and there has been a lack of clinical investigations. In this study, we investigate the relationship between triiodothyronine (T3) level and cardiac ejection fraction (EF) as well as probrain natriuretic peptide (NT-proBNP) on admission and subsequent prognosis in AMI patients. Methods. We measured admission thyroid function, NT-proBNP, and EF by echocardiography in 345 patients diagnosed with AMI. Simple and multiregression analyses were performed to investigate the correlation between T3 level and EF as well as NT-proBNP. Major adverse cardiovascular events (MACE), including new-onset myocardial infarction, acute heart failure, and cardiac death, were documented during the follow-up. 248 participants were separated into three groups based on T3 and free triiodothyronine (FT3) levels for survival analysis during a 2-year follow-up. Results. 345 patients diagnosed with AMI were included in the initial observational analysis. 248 AMI patients were included in the follow-up survival analysis. The T3 levels were found to be significantly positively correlated with EF (R square=0.042, P<0.001) and negatively correlated with admission NT-proBNP levels (R square=0.059, P<0.001), which is the same with the correlation between FT3 and EF (R square=0.053, P<0.001) and admission NT-proBNP levels (R square=0.108, P<0.001). Kaplan-Meier survival analysis revealed no significant difference with regard to different T3 or FT3 levels at the end of follow-up. Conclusions. T3 and FT3 levels are moderately positively correlated with cardiac function on admission in AMI patients but did not predict a long-time survival rate. Further studies are needed to explain whether longer-term follow-up would further identify the prognosis effect of T3 on MACE and all-cause mortality.

scholarly journals Silane Heat Treatment Could Eliminate the Hydrofluoric Acid Etching of Lithium Disilicate Overlays: A Four-Year Follow-Up

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Spartak Spasov Yanakiev ◽  
Mirela Borislavova Marinova-Takorova
Keyword(s):  
Heat Treatment ◽  
Bond Strength ◽  
Hydrofluoric Acid ◽  
Lithium Disilicate ◽  
Acid Etching ◽  
Preparation Technique ◽  
Ceramic Surface ◽  
Dental Adhesive ◽  
Ceramic Bond

A four-year follow-up of a novel silane heat treatment method for bonding lithium disilicate overlays to tooth structures without hydrofluoric acid etching of the ceramic surface is presented in this case report. Silane heat treatment modifies the silane layer and thus enhances resin ceramic bond strength without hydrofluoric acid etching. The standard ceramic preparation technique prior to bonding silicate ceramics to tooth structure is hydrofluoric acid etching and applying a silane coupling agent, followed by dental adhesive. In this case, the micromechanical roughening of the ceramic surface was performed by air abrasion with Al2O3. Silane heat treatment with constant 120°C airflow, applied for 60 sec, followed by dental adhesive application enhanced the resin-ceramic bond strength. After a four-year follow-up, the restorations’ clinical appearance could be defined as excellent/very good according to the FDI clinical criteria for the evaluation of direct and indirect restorations. This clinical result supports many in vitro studies regarding the resin-ceramic bond strength and durability obtained through postsilanization heat treatment.

Abstract 4355: Functional Status Is More Strongly Associated with Mortality in Cardiac Amyloid Compared to Echocardiographic Parameters

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Bethany A Austin ◽  
Brendan Duffy ◽  
Rene Rodriguez ◽  
Carmela Tan ◽  
Randall C Starling ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Cardiac Amyloidosis ◽  
Nyha Class ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Proportional Hazard ◽  
Term Survival ◽  
Cox Proportional Hazard ◽  
Lv Mass

Cardiac amyloidosis (CA) is generally associated with a poor prognosis and significantly increased mortality. We sought to identify predictors of longer-term survival in patients with EMB documented CA. Forty-five consecutive EMB documented CA patients were studied from 1/98 –12/03. Age, gender, NYHA class, medications, presence of light chain amyloid and ECG voltage were recorded. Baseline left ventricular ejection fraction (LVEF), deceleration time (DT), diastology, LV mass, interventricular septal (IVS) thickness and myocardial performance index (MPI) [(isovolumic contraction time + isovolumic relaxation time)/ejection time] were recorded. Length of follow-up and all-cause mortality were recorded. Mean age was 66 ±10 years with 34 (76 %) men. NYHA class > 2 and low voltage on ECG [S (V1) + R (V5) ≤12] were noted in 26 (58 %) and 12 (27 %) patients, respectively. Mean LVEF, IVS thickness and LV mass were 46 % ±13, 1.7 cm ±0.42 and 303 grams ±114, respectively. DT <150 msec and MPI > 0.6 were found in 19 (42 %) and 15 (33 %) patients, respectively. At median follow-up of 1.7 years, there were 25 (56%) deaths. On univariate Kaplan-Meier survival analysis, NYHA class > 2, DT <150 msec and lack of beta-blocker use were associated with increased mortality (log-rank statistic p-values <0.001, <0.05 and 0.01, respectively). Cox Proportional Hazard Survival Analysis is shown in the table . In patients with EMB-documented CA, s urvival is more strongly associated with NYHA functional class compared to ECG and echocardiographic variables, including DT and MPI. Evaluation of advanced imaging techniques such as cardiac magnetic resonance in predicting prognosis in these patients is warranted. Table: Cox Proportional Hazard Analysis of Various Clinical, Electrocardiographic and Echocardiographic Predictors of Mortality in Patients with Biopsy Proven Cardiac Amyloidosis

P1218Deep learning survival analysis enhances the value of hybrid PET/CT for long-term cardiovascular event prediction

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
L E Juarez-Orozco ◽  
J W Benjamins ◽  
T Maaniitty ◽  
A Saraste ◽  
P Van Der Harst ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Survival Analysis ◽  
Deep Learning ◽  
Ct Angiography ◽  
Time To Event ◽  
Clinical Variables ◽  
Pet Ct ◽  
Early Revascularization

Abstract Background Deep Learning (DL) is revolutionizing cardiovascular medicine through complex data-pattern recognition. In spite of its success in the diagnosis of coronary artery disease (CAD), DL implementation for prognostic evaluation of cardiovascular events is still limited. Traditional survival models (e.g.Cox) notably incorporate the effect of time-to-event but are unable to exploit complex non-liner dependencies between large numbers of predictors. On the other hand, DL hasn't systematically incorporated time-to-event for prognostic evaluations. Long-term registries of hybrid PET/CT imaging represent a suitable substrate for DL-based survival analysis due the large amount of time-dependent structured variables that they convey. Therefore, we sought to evaluate the feasibility and performance of DL Survival Analysis in predicting the occurrence of myocardial infarction (MI) and death in a long-term registry of cardiac hybrid PET/CT. Methods Data from our PET/CT registry of symptomatic patients with intermediate CAD risk who underwent sequential CT angiography and 15O-water PET for suspected ischemia, was analyzed. The sample has been followed for a 6-year average for MI or death. Ten clinical variables were extracted from electronic records including cardiovascular risk factors, dyspnea and early revascularization. CT angiography images were evaluated segmentally for: presence of plaque, % of luminal stenosis and calcification (58 variables). Absolute stress PET myocardial perfusion data was evaluated globally and regionally across vascular territories (4 variables). Cox-Nnet (a deep survival neural network) was implemented in a 5-fold cross-validated 80:20 split for training and testing. Resulting DL-hazard ratios were operationalized and compared to the observed events developed during follow-up. The performance of Cox-Nnet evaluating structured CT, PET/CT, and PET/CT+clinical variables was compared to expert interpretation (operationalized as: normal coronaries, non-obstructive CAD, obstructive CAD) and to Calcium Score (CaSc), through the concordance (c)-index. Results There were 426 men and 525 women with a mean age of 61±9 years-old. Twenty-four MI and 49 deaths occurred during follow-up (1 month–9.6 years), while 11.5% patients underwent early revascularization. Cox-Nnet evaluation of PET/CT data (c-index=0.75) outperformed categorical expert interpretation (c-index=0.54) and CaSc (c-index=0.65), while hybrid PET/CT and PET/CT+clinical (c-index=0.75) variables demonstrated incremental performance overall independent from early revascularization. Conclusion Deep Learning Survival Analysis is feasible in the evaluation of cardiovascular prognostic data. It might enhance the value of cardiac hybrid PET/CT imaging data for predicting the long-term development of myocardial infarction and death. Further research into the implementation of Deep Learning for prognostic analyses in CAD is warranted.

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